Spherical Shape Computer Vision Dataset
140 Total Images
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Dataset Split
Train Set 88%
123Images
Valid Set 9%
12Images
Test Set 3%
5Images
Preprocessing
Auto-Orient: Applied
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 1.45% of pixels